244 citations · 1.3k across the 96 of their papers we have counts for
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Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge Distillation
Thong Nguyen, Luu Anh Tuan
Current state-of-the-art cross-lingual summarization models employ multi-task learning paradigm, which works on a shared vocabulary module and relies on the self-attention mechanis…
Contrastive Learning for Neural Topic Model
Thong Nguyen, Anh Tuan Luu
Recent empirical studies show that adversarial topic models (ATM) can successfully capture semantic patterns of the document by differentiating a document with another dissimilar s…
Graph Neural Networks with Learnable Structural and Positional Representations
Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laurent +2
Graph neural networks (GNNs) have become the standard learning architectures for graphs. GNNs have been applied to numerous domains ranging from quantum chemistry, recommender syst…
Enriching and Controlling Global Semantics for Text Summarization
Thong Nguyen, Anh Tuan Luu, Truc Lu +1
Recently, Transformer-based models have been proven effective in the abstractive summarization task by creating fluent and informative summaries. Nevertheless, these models still s…
Towards Robustness Against Natural Language Word Substitutions
Xinshuai Dong, Anh Tuan Luu, Rongrong Ji +1
Robustness against word substitutions has a well-defined and widely acceptable form, i.e., using semantically similar words as substitutions, and thus it is considered as a fundame…
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with Parameters
Aston Zhang, Yi Tay, Shuai Zhang +4
Recent works have demonstrated reasonable success of representation learning in hypercomplex space. Specifically, "fully-connected layers with Quaternions" (4D hypercomplex numbers…